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Titlebook: Human-in-the-Loop Simulations; Methods and Practice Ling Rothrock,S. Narayanan Book 2011 Springer-Verlag London Limited 2011 Decision Makin

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https://doi.org/10.1007/978-3-662-36232-7ome insights into basic performance issues, the emergence of highly automated computing systems have fundamentally altered the way humans work. The purpose of this paper is to present an approach to quantify and analyze human performance in human-in-the-loop simulations based on over ten years of re
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A. A. Benedetti-Pichler,Friedrich Hechttion where people can interact with a simulation of an operator interface and environment. Human-in-the-loop activity can be recorded when a person performs a procedure with the simulated interface. This activity can then be automatically compiled into an operator model that can be used in construct
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Yuri Fisscher,Robbert Polet,Kristof Franse) social force model (SFM) to represent physical interactions and congestions among people and the environment, and (3) dynamic planning algorithm involving AND/OR graphs. Furthermore, SFM is enhanced with the vision of each individual, and both individual and group behaviors are considered. The pro
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https://doi.org/10.1007/978-90-313-8929-2astic simulation, the answer is more complex. Different researchers have proposed and used different heuristics. A review of the models presented at a conference on cognitive modeling illustrates the range of solutions and problems in this area. We present the argument that because the simulation is
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Begriffliche und konzeptionelle Grundlagen,tely solving engineering design optimization problems. This is achieved by combining multi-dimensional data visualization techniques with visual steering commands to allow designers to “steer” the optimization process while searching for the best, or Pareto optimal, designs. After introducing the tr
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Wachsen durch internationale Expansionth knowledge of their epidemiology. The only practical method for discovering global epidemiological knowledge and identifying prophylactic strategies is simulation. However, several interrelated factors, including increasing model complexity, stochastic nature of diseases, and short analysis timefr
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